Dragonfly: Advances in Non-Speaker Annotation for Low Resource Languages

Cash Costello, Shelby Anderson, Caitlyn Bishop, James Mayfield, Paul McNamee


Abstract
Dragonfly is an open source software tool that supports annotation of text in a low resource language by non-speakers of the language. Using semantic and contextual information, non-speakers of a language familiar with the Latin script can produce high quality named entity annotations to support construction of a name tagger. We describe a procedure for annotating low resource languages using Dragonfly that others can use, which we developed based on our experience annotating data in more than ten languages. We also present performance comparisons between models trained on native speaker and non-speaker annotations.
Anthology ID:
2020.lrec-1.862
Volume:
Proceedings of the 12th Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
6983–6987
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.862
DOI:
Bibkey:
Cite (ACL):
Cash Costello, Shelby Anderson, Caitlyn Bishop, James Mayfield, and Paul McNamee. 2020. Dragonfly: Advances in Non-Speaker Annotation for Low Resource Languages. In Proceedings of the 12th Language Resources and Evaluation Conference, pages 6983–6987, Marseille, France. European Language Resources Association.
Cite (Informal):
Dragonfly: Advances in Non-Speaker Annotation for Low Resource Languages (Costello et al., LREC 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.lrec-1.862.pdf